Effectiveness of Neuraminidase Inhibitors for Preventing Staff Absenteeism during Pandemic Influenza

Details

• Alternative Title:
  Emerg Infect Dis
• Personal Author:
  Lee, Vernon J. ; Chen, Mark I.
• Description:
  We used a deterministic SEIR (susceptible-exposed-infectious-removed) meta-population model, together with scenario, sensitivity, and simulation analyses, to determine stockpiling strategies for neuraminidase inhibitors that would minimize absenteeism among healthcare workers. A pandemic with a basic reproductive number (R0) of 2.5 resulted in peak absenteeism of 10%. Treatment decreased peak absenteeism to 8%, while 8 weeks' prophylaxis reduced it to 2%. For pandemics with higher R0, peak absenteeism exceeded 20% occasionally and 6 weeks' prophylaxis reduced peak absenteeism by 75%. Insufficient duration of prophylaxis increased peak absenteeism compared with treatment only. Earlier pandemic detection and initiation of prophylaxis may render shorter prophylaxis durations ineffective. Eight weeks' prophylaxis substantially reduced peak absenteeism under a broad range of assumptions for severe pandemics (peak absenteeism > 10%). Small investments in treatment and prophylaxis, if adequate and timely, can reduce absenteeism among essential staff.
• Subjects:
  Absenteeism Adult Disease Outbreaks Disease Transmission, Infectious Enzyme Inhibitors Health Personnel Humans Influenza, Human Middle Aged Models, Theoretical Oseltamivir

  More +
• Source:
  Emerg Infect Dis. 13(3):449-457.
• Document Type:
  Journal Article
• Place as Subject:
  Singapore
• Volume:
  13
• Issue:
  3
• Collection(s):
  Emerging Infectious Diseases
• Main Document Checksum:
  urn:sha256:addfd74fdb872477dac3b270b4a0ef46b6a0fb119e546edf27296d5f25fc2b46
• Download URL:
  https://stacks.cdc.gov/view/cdc/16274/cdc_16274_DS1.pdf
• File Type:
  [PDF - 283.97 KB ]